Hong Kong will take on Oman in the next game of the ICC World Cup T20 qualifiers. Both teams have played one game each in the tournament so far, and they would not want to settle for anything less than a victory in this match.
Hong Kong lost their opening fixture against the pre-tournament favorites Ireland by 8 wickets. Oman, on the other hand, stunned the hosts UAE by defeating them convincingly in their tournament opener.
While Hong will look to post their first points in the points chart, Oman would like to repeat their performance from the last game to keep their winning caravan rolling.
ICC Men's T20 World Cup Qualifiers – Match 13
Date: Sunday, 20th October 2019
Venue: Sheykh Zayed Stadium, Abu Dhabi
Time: 3:40 PM IST
Hong Kong: 1
The surface is expected to get slower as the match will progress. the team winning the toss would like to have a go at the bowlers and post a total.
The weather is expected to stay clear with no threats of rain.
Hong Kong Team News:
Oman Team News:
Hong Kong Squad:
Nizakat Khan, Aizaz Khan(c), Kinchit Shah, Waqas Barkat, Haroon Arshad, Simandeep Singh, Scott McKechnie(w), Shahid Wasif, Ehsan Khan, Kyle Christie, Nasrulla Rana, Ahsan Abbasi, Raag Kapur, Aarush Bhagwat, Mohammad Ghazanfar
Khawar Ali, Jatinder Singh, Aqib Ilyas, Aamir Kaleem, Zeeshan Maqsood(c), Suraj Kumar(w), Mohammad Nadeem, Sandeep Goud, Fayyaz Butt, Khurram Nawaz, Bilal Khan, Sufyan Mehmood, Mehran Khan, Naseem Khushi, Kaleemullah, Jay Odedra
Hong Kong Playing 11:
Waqas Barkat, Aizaz Khan (c), Nizakat Khan, Kinchit Shah, Scott McKechnie (wk), Shahid Wasif, Simandeep Singh, Ehsan Khan, Kyle Christie, Haroon Arshad, and Nasrulla Rana.
Oman Playing 11:
Jatinder Singh, Mohammad Nadeem, Aamir Kaleem, Zeeshan Maqsood (c), Khawar Ali, Bilal Khan, Aqib Ilyas, Khurram Nawaz, Suraj Kumar (wk), Fayyaz Butt, and Sandeep Goud.
Disclaimer: Team Management could make late decisions depending on the match situation and team strategy. The fantasy teams we have provided at the platform is the best of our interest. Also, we form the teams based on the credit scores of the players.
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